Browsing İnşaat Mühendisliği Bölümü Koleksiyonu by Publisher "Elsevier"
Now showing items 1-4 of 4
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Data-driven ensemble learning approach for optimal design of cantilever soldier pile retaining walls
(Elsevier, 2023)Cantilever soldier pile retaining walls are used to ensure the stability of excavations. This paper deploys ensemble machine learning algorithms towards achieving optimum design of these structures. A large dataset was ... -
Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis
(Elsevier, 2023)Wind energy increasingly attracts investment from many countries as a clean and renewable energy source. Since wind energy investment cost is high, the efficiency of a potential wind power plant should be determined ... -
Effectiveness of wood waste sawdust to produce medium- to low-strength concrete materials
(Elsevier, 2021)This paper investigates the use of sawdust as fine aggregate and its influence on the properties of hardened concrete, and examines the correlation between sawdust content and hydration days. In this study, untreated wood ... -
Explainable ensemble learning data-driven modeling of mechanical properties of fiber-reinforced rubberized recycled aggregate concrete
(Elsevier, 2023)Colossal amounts of construction and demolition waste (C&D) and waste tires have become a considerable global environmental concern. To alleviate this issue, it is proposed to use crumb rubber (CR) derived from waste ...
